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Algorithmic Learning Theory - 12th International Conference, ALT 2001, Washington, DC, USA, November 25-28, 2001. Proceedings. (Paperback, 2001 ed.)
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Algorithmic Learning Theory - 12th International Conference, ALT 2001, Washington, DC, USA, November 25-28, 2001. Proceedings. (Paperback, 2001 ed.)
Series: Lecture Notes in Computer Science, 2225
Expected to ship within 10 - 15 working days
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This volume contains the papers presented at the 12th Annual
Conference on Algorithmic Learning Theory (ALT 2001), which was
held in Washington DC, USA, during November 25-28, 2001. The main
objective of the conference is to provide an inter-disciplinary
forum for the discussion of theoretical foundations of machine
learning, as well as their relevance to practical applications. The
conference was co-located with the Fourth International Conference
on Discovery Science (DS 2001). The volume includes 21 contributed
papers. These papers were selected by the program committee from 42
submissions based on clarity, signi?cance, o- ginality, and
relevance to theory and practice of machine learning. Additionally,
the volume contains the invited talks of ALT 2001 presented by Dana
Angluin of Yale University, USA, Paul R. Cohen of the University of
Massachusetts at Amherst, USA, and the joint invited talk for ALT
2001 and DS 2001 presented by Setsuo Arikawa of Kyushu University,
Japan. Furthermore, this volume includes abstracts of the invited
talks for DS 2001 presented by Lindley Darden and Ben Shneiderman
both of the University of Maryland at College Park, USA. The
complete versions of these papers are published in the DS 2001
proceedings (Lecture Notes in Arti?cial Intelligence Vol. 2226).
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